2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)最新文献_第2页

An efficient implementation of rotational radix-4 CORDIC based FFT processor 基于旋转基数-4 CORDIC的FFT处理器的高效实现

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745443

A. Yasodai, A. Ramprasad

{"title":"An efficient implementation of rotational radix-4 CORDIC based FFT processor","authors":"A. Yasodai, A. Ramprasad","doi":"10.1109/RAICS.2013.6745443","DOIUrl":"https://doi.org/10.1109/RAICS.2013.6745443","url":null,"abstract":"A new technique for implementing low power FFTs based on memory less Z path eliminated CORDIC is proposed in this paper. The vector rotation in the x/y plane can be realized by rotating a vector through a series of elementary angles. These elementary angles are chosen such that the vector rotation through each of them may be approximated easily with a simple shift and add operation, and their algebraic sum approaches the required rotation angle. This can be exercised by CORDIC (CO-ordinate Rotation Digital Computer) algorithm in rotation mode. Pipelined architecture by pre computation of direction of micro rotation, radix-4 number representation, and the angle generator has been processed in terms of hardware complexity, iteration delay and memory reduction. The proposed algorithm also exercises an addressing scheme and the associated angle generator logic in order to eliminate the ROM usage for bottling the twiddle factors. It incorporates parallelism and pipe line processing. The latency of the system is n/2 clock cycles. The throughput rate is one valid result per eight clock cycles. The approached architecture for radix-4, 16-bit precision and 16-point FFT was implemented on FPGA platform virtex 5 and simulated to validate the results. This contributes to the minimization of the dynamic power consumption of the proposed system to 28.52mW at 100MHz and 5.70mW at 20MHz with the maximum operating frequency of 450.564MHZ.","PeriodicalId":184155,"journal":{"name":"2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)","volume":"56 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120870457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Relaxed context-aware machine learning midddleware (RCAMM) for Android 用于Android的轻松的上下文感知机器学习中间件(RCAMM)

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745453

Jitesh Punjabi, Shekhar Parkhi, Gaurav Taneja, N. Giri

{"title":"Relaxed context-aware machine learning midddleware (RCAMM) for Android","authors":"Jitesh Punjabi, Shekhar Parkhi, Gaurav Taneja, N. Giri","doi":"10.1109/RAICS.2013.6745453","DOIUrl":"https://doi.org/10.1109/RAICS.2013.6745453","url":null,"abstract":"Context Aware Computing is a promising approach of developing mobile applications that provide experiences and services in a manner that is fine-tuned based on the user's preferences. Applications such as Google Now, Apple Siri learn the User's activities from context related information and subsequently provide suggestions to the users in real-time. However, in almost all cases, application developers have to develop the same set of mechanisms to consume the context information and storing it in an appropriate form rather than focusing on the parts of the application that consume the context information. This approach results in the repetition of the same task and multiple copies of data. This paper presents our work detailing the development of a middleware that handles context information collection and its storage. The work provides a framework that allows the developers to easily implement context aware applications that consume the services provided by the middleware. Applications will only have to react to context data (past and present) while the middleware takes care of everything else such as the background service for context information collection and storage, thus reducing the redundancy, increasing adaptability and flexibility, and simultaneously supporting developers in rapid prototyping of context-aware applications. Thus the paper presents our work towards building sustainable Android Framework which follows the principle of Reformat, Reduce, Regenerate, Reuse and Repurpose.","PeriodicalId":184155,"journal":{"name":"2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130875206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Automatic domain ontology construction mechanism 自动领域本体构建机制

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745492

Aarti Singh, P. Anand

引用次数: 4

Survey of test strategies for System-on Chip and it's embedded memories 片上系统及其嵌入式存储器测试策略综述

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745473

G. P. Acharya, M. A. Rani

{"title":"Survey of test strategies for System-on Chip and it's embedded memories","authors":"G. P. Acharya, M. A. Rani","doi":"10.1109/RAICS.2013.6745473","DOIUrl":"https://doi.org/10.1109/RAICS.2013.6745473","url":null,"abstract":"Today's submicron VLSI technology has been emerged as integration of many VLSI ICs into a single Si Chip called System-on-Chip (SoC). The SoC architecture normally contains multiple processors along with either separate or centralized memory blocks as its core elements as well as many noncore elements, e.g., Cache/DRAM controllers, I/O Controllers. Due to the increased demands for high data storage, the integration of on-chip memories ranging from Gigabytes to Terrabytes is becoming essential for the latest SoC technology. To improve the reliability and performance of SoCs due to technology miniaturization and increased memory density, there is a need to incorporate on-chip self-testing unit for testing these memory units. Further, to improve the yield and fault tolerance of on-chip memories without degradation on its performance, self repair mechanism may be integrated on chip. Apart from memory self test and repair., another biggest challenge in SoC testing is the testing of logic blocks (core elements) as well as the noncore elements as specified earlier. This paper brings out the reviews of BIST strategies from various literatures that are being applied for testing of embedded memories and IP cores along with associated noncore elements.","PeriodicalId":184155,"journal":{"name":"2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126555798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Optimal design of a symmetric monopole antenna with spiral geometry 螺旋形对称单极天线的优化设计

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745484

Burni George, S. S. Kumar

引用次数: 1

Respiratory sound classification using cepstral features and support vector machine 基于倒谱特征和支持向量机的呼吸声分类

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745460

R. Palaniappan, K. Sundaraj

引用次数: 21

Templated marching cubes — A low computation approach to surface rendering 模板化的移动立方体——表面渲染的低计算方法

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745485

C. K. Manikandtan, S. Resmi, S. Sibi, R. Kumar, G. S. Harikumaran Nair

引用次数: 0

Dynamic gesture recognition of Indian sign language considering local motion of hand using spatial location of Key Maximum Curvature Points 基于最大曲率点空间位置的考虑手部局部运动的印度手语动态手势识别

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745452

M. Geetha, P. Aswathi

{"title":"Dynamic gesture recognition of Indian sign language considering local motion of hand using spatial location of Key Maximum Curvature Points","authors":"M. Geetha, P. Aswathi","doi":"10.1109/RAICS.2013.6745452","DOIUrl":"https://doi.org/10.1109/RAICS.2013.6745452","url":null,"abstract":"Sign language is the most natural way of expression for the deaf community. Indian Sign Language (ISL) is a visual-spatial language which provides linguistic information using hands, arms, facial expressions, and head/body postures. In this paper we propose a new method for, vision-based recognition of dynamic signs corresponding to Indian Sign Language words. A new method is proposed for key frame extraction which is more accurate than the existing methods. The frames corresponding to the Maximum Curvature Points (MCPs) of the global trajectory are taken as the keyframes. The method accomodates the spatio temporal variability that may occur when different persons perform the same gesture. We are also proposing a new method based on spatial location of the Key Maximum Curvature Points of the boundary for shape feature extraction of key frames. Our method when compared with three other exisiting methods has given better performance. The method has considered the local as well as global trajectory information for recognition. The feature extraction method has proved to be scale invariant and translation invariant.","PeriodicalId":184155,"journal":{"name":"2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)","volume":"2 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114105222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Single image super-resolution based on compressive sensing and TV minimization sparse recovery for remote sensing images 基于压缩感知和TV最小化稀疏恢复的遥感图像单幅超分辨率

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745476

Sreeja S, M Wilscy

{"title":"Single image super-resolution based on compressive sensing and TV minimization sparse recovery for remote sensing images","authors":"Sreeja S, M Wilscy","doi":"10.1109/RAICS.2013.6745476","DOIUrl":"https://doi.org/10.1109/RAICS.2013.6745476","url":null,"abstract":"In this paper we address the problem of super resolution in remote sensing images from a single low resolution image without using an external database. This method uses the techniques of Compressive Sensing (CS), Structural Self Similarity and Total Variation (TV) Minimization. The approach is based on sparse and redundant representations over trained dictionaries. The method involves identifying a dictionary that represents high resolution patches in a sparse manner. Extra information from similar structures that exist in remote sensing images can be introduced to dictionary in the CS framework. K-SVD method is used for finding the dictionary and TV Minimization method is used for finding the sparse representation coefficients. Instead of using the HR patches from an external database, the proposed method uses the patches from the interpolated version of the LR image for training the dictionary. The method is compared with other single image super resolution algorithms that use sparse recovery methods such as Orthogonal Matching Pursuit algorithm. The proposed method is tested with satellite images from USC_SIPI database. The method gives better results than other methods both visually and quantitatively. Performance of the method is evaluated using the metrics: PSNR, MSSIM, FSIM and Blur Metric.","PeriodicalId":184155,"journal":{"name":"2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132699606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Emotion detection from “the SMS of the internet” 从“互联网短信”看情感检测

2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Pub Date : 2013-12-01 DOI: 10.1109/RAICS.2013.6745494

U. Nagarsekar, A. Mhapsekar, P. Kulkarni, D. Kalbande

引用次数: 13